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An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning

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Date of Publication:2024-05-13

Journal:STRUCTURAL SAFETY

Volume:108

ISSN No.:0167-4730

Key Words:CHAOS EXPANSION; DENSITY-ESTIMATION; MODEL; MOMENT; OPTIMIZATION; PRINCIPLE; REDUCTION; STRUCTURAL RELIABILITY-ANALYSIS; VARIABLES

Pre One:A data-driven B-spline-enhanced Kriging method for uncertainty quantification based on Bayesian compressive sensing